The emergence of the male Primary school Special Educational Needs Coordinator: a relational materialist post-qualitative exploration

This thesis reports on a study of the experiences and perspectives of four men working as Special Educational Need Coordinators (SENCos) in Primary schools in England, based on interviews between September 2013 and November 2014. Within their schools, SENCos have ‘day-to-day responsibility for the operation of SEN policy and co-ordination of specific provision made to support individual pupils with SEN’ (DfE, 2015, p.108). The role has an historic association with forms of motherly, selfless care and can be seen as a key site of tension as masculine-coded managerial and performative forces colonise SEN provision. There is currently no published research exploring men’s experiences of working as SENCos. The study adopts a ‘relational materialist’ ontology (Hultman and Lenz Taguchi, 2010), drawing on new material feminist (e.g. Taylor, 2013) and sociomaterialist (e.g. Fenwick and Edwards, 2013) approaches, and inspired by the work of Karen Barad and Gilles Deleuze. In line with this thinking, the research engages a ‘material storytelling’ sensibility (e.g. Strand, 2012) and is directed by a post-qualitative approach to data analysis (Lather and St. Pierre, 2013). This study pays close attention to how material objects (folders, filing cabinets, suits and ties, photographs, desks, et al.) are entangled with discourses of gender, teaching and SEN with/in the men’s narrative becomings. Thinking with relational material-discursive assemblages allows a sense of how these men emerge as particular ‘male Primary school SENCo’ subjects that knot around rigid and mutually-informing axes of hegemonic masculinity, heteronormativity, and neoliberal and neoconservative policy imperatives. This has consequences for the iterations of professionalism and care that emerge simultaneously with this ‘male Primary school SENCo’, which has potential to affect/effect the becomings of pupils, colleagues, knowledges and practices within their orbit. The research contributes to and advances the study of male Primary school teachers, SENCos and SEN practice, and develops the use of relational/new materialist theories

Device-measured physical activity and cardiometabolic health: the Prospective Physical Activity, Sitting, and Sleep (ProPASS) consortium

Background and Aims: Physical inactivity, sedentary behaviour (SB), and inadequate sleep are key behavioural risk factors of cardiometabolic diseases. Each behaviour is mainly considered in isolation, despite clear behavioural and biological interdependencies. The aim of this study was to investigate associations of five-part movement compositions with adiposity and cardiometabolic biomarkers.Methods: Cross-sectional data from six studies (n = 15 253 participants; five countries) from the Prospective Physical Activity, Sitting and Sleep consortium were analysed. Device-measured time spent in sleep, SB, standing, light-intensity physical activity (LIPA), and moderate-vigorous physical activity (MVPA) made up the composition. Outcomes included body mass index (BMI), waist circumference, HDL cholesterol, total:HDL cholesterol ratio, triglycerides, and glycated haemoglobin (HbA1c). Compositional linear regression examined associations between compositions and outcomes, including modelling time reallocation between behaviours.Results: The average daily composition of the sample (age: 53.7 ± 9.7 years; 54.7% female) was 7.7h sleeping, 10.4h sedentary, 3.1h standing, 1.5h LIPA, and 1.3h MVPA. A greater MVPA proportion and smaller SB proportion were associated with better outcomes. Reallocating time from SB, standing, LIPA, or sleep into MVPA resulted in better scores across all outcomes. For example, replacing 30min of SB, sleep, standing, or LIPA with MVPA was associated with-0.63 (95% confidence interval-0.48,-0.79),-0.43 (-0.25,-0.59),-0.40 (-0.25,-0.56), and-0.15 (0.05,-0.34) kg/m2 lower BMI, respectively. Greater relative standing time was beneficial, whereas sleep had a detrimental association when replacing LIPA/MVPA and positive association when replacing SB. The minimal displacement of any behaviour into MVPA for improved cardiometabolic health ranged from 3.8 (HbA1c) to 12.7 (triglycerides) min/day. Conclusions: Compositional data analyses revealed a distinct hierarchy of behaviours. Moderate-vigorous physical activity demonstrated the strongest, most time-efficient protective associations with cardiometabolic outcomes. Theoretical benefits from reallocating SB into sleep, standing, or LIPA required substantial changes in daily activity.</p

Device-measured physical activity and cardiometabolic health: the Prospective Physical Activity, Sitting, and Sleep (ProPASS) consortium

BACKGROUND AND AIMS: Physical inactivity, sedentary behaviour (SB), and inadequate sleep are key behavioural risk factors of cardiometabolic diseases. Each behaviour is mainly considered in isolation, despite clear behavioural and biological interdependencies. The aim of this study was to investigate associations of five-part movement compositions with adiposity and cardiometabolic biomarkers. METHODS: Cross-sectional data from six studies (n = 15 253 participants; five countries) from the Prospective Physical Activity, Sitting and Sleep consortium were analysed. Device-measured time spent in sleep, SB, standing, light-intensity physical activity (LIPA), and moderate-vigorous physical activity (MVPA) made up the composition. Outcomes included body mass index (BMI), waist circumference, HDL cholesterol, total:HDL cholesterol ratio, triglycerides, and glycated haemoglobin (HbA1c). Compositional linear regression examined associations between compositions and outcomes, including modelling time reallocation between behaviours. RESULTS: The average daily composition of the sample (age: 53.7 ± 9.7 years; 54.7% female) was 7.7 h sleeping, 10.4 h sedentary, 3.1 h standing, 1.5 h LIPA, and 1.3 h MVPA. A greater MVPA proportion and smaller SB proportion were associated with better outcomes. Reallocating time from SB, standing, LIPA, or sleep into MVPA resulted in better scores across all outcomes. For example, replacing 30 min of SB, sleep, standing, or LIPA with MVPA was associated with -0.63 (95% confidence interval -0.48, -0.79), -0.43 (-0.25, -0.59), -0.40 (-0.25, -0.56), and -0.15 (0.05, -0.34) kg/m2 lower BMI, respectively. Greater relative standing time was beneficial, whereas sleep had a detrimental association when replacing LIPA/MVPA and positive association when replacing SB. The minimal displacement of any behaviour into MVPA for improved cardiometabolic health ranged from 3.8 (HbA1c) to 12.7 (triglycerides) min/day. CONCLUSIONS: Compositional data analyses revealed a distinct hierarchy of behaviours. Moderate-vigorous physical activity demonstrated the strongest, most time-efficient protective associations with cardiometabolic outcomes. Theoretical benefits from reallocating SB into sleep, standing, or LIPA required substantial changes in daily activity

Guidelines for conserving connectivity through ecological networks and corridors

Connectivity conservation is essential for managing healthy ecosystems, conserving biodiversity and adapting to climate change across all biomes and spatial scales. Well-connected ecosystems support a diversity of ecological functions such as migration, hydrology, nutrient cycling, pollination, seed dispersal, food security, climate resilience and disease resistance. These Guidelines are based on the best available science and practice for maintaining, enhancing and restoring ecological connectivity among and between protected areas, other effective areas based conservation measures (OECMs) and other intact ecosystems. For the first time, this publication introduces a common definition and recommends formal recognition of ecological corridors to serve as critical building blocks of ecological networks in conjunction with protected areas and OECMs. Furthermore, these Guidelines also include 25 case studies that demonstrate current approaches to conserving ecological connectivity and ecological networks for different ecosystems and species, and at different spatial and temporal scales

A Physical Behaviour Partnership From Heaven : The Prospective Physical Activity, Sitting, and Sleep Consortium and the International Society for the Measurement of Physical Behaviour

The advancement of science demands people and organizations work together toward worthy goals, a need that is especially pronounced in nascent fields like physical behavior. Partnerships offer an ideal vehicle for long-term collaboration to build research capacity, develop new scientific endeavors, and nurture talent. In this commentary, we discuss the newly formed partnership between two key players of the field of physical behavior, the Prospective Physical Activity, Sitting, and Sleep consortium (ProPASS) and the International Society for the Measurement of Physical Behaviour (ISMPB)

Device-measured physical activity and cardiometabolic health: the Prospective Physical Activity, Sitting, and Sleep (ProPASS) consortium

This is the final version. Available on open access from Oxford University Press via the DOI in this recordData Availability: Access to data is not available directly from the authors of this manuscript. Access to cohort data may be available by contacting individual cohort and following their specific governance and access requirements.Background and Aims Physical inactivity, sedentary behaviour (SB), and inadequate sleep are key behavioural risk factors of cardiometabolic diseases. Each behaviour is mainly considered in isolation, despite clear behavioural and biological interdependencies. The aim of this study was to investigate associations of five-part movement compositions with adiposity and cardiometabolic biomarkers. Methods Cross-sectional data from six studies (n = 15 253 participants; five countries) from the Prospective Physical Activity, Sitting and Sleep consortium were analysed. Device-measured time spent in sleep, SB, standing, light-intensity physical activity (LIPA), and moderate-vigorous physical activity (MVPA) made up the composition. Outcomes included body mass index (BMI), waist circumference, HDL cholesterol, total:HDL cholesterol ratio, triglycerides, and glycated haemoglobin (HbA1c). Compositional linear regression examined associations between compositions and outcomes, including modelling time reallocation between behaviours. Results The average daily composition of the sample (age: 53.7 ± 9.7 years; 54.7% female) was 7.7 h sleeping, 10.4 h sedentary, 3.1 h standing, 1.5 h LIPA, and 1.3 h MVPA. A greater MVPA proportion and smaller SB proportion were associated with better outcomes. Reallocating time from SB, standing, LIPA, or sleep into MVPA resulted in better scores across all outcomes. For example, replacing 30 min of SB, sleep, standing, or LIPA with MVPA was associated with −0.63 (95% confidence interval −0.48, −0.79), −0.43 (−0.25, −0.59), −0.40 (−0.25, −0.56), and −0.15 (0.05, −0.34) kg/m2 lower BMI, respectively. Greater relative standing time was beneficial, whereas sleep had a detrimental association when replacing LIPA/MVPA and positive association when replacing SB. The minimal displacement of any behaviour into MVPA for improved cardiometabolic health ranged from 3.8 (HbA1c) to 12.7 (triglycerides) min/day. Conclusions Compositional data analyses revealed a distinct hierarchy of behaviours. Moderate-vigorous physical activity demonstrated the strongest, most time-efficient protective associations with cardiometabolic outcomes. Theoretical benefits from reallocating SB into sleep, standing, or LIPA required substantial changes in daily activity.British Heart FoundationNational Health and Medical Research Council (Australia)PAL Technologies (Glasgow, UK)FORTE, Swedish Research Council for Health, Working Life and WelfareEuropean Union Horizon 2020National Institute for Health and Care Research (NIHR)Medical Research Council (MRC)Wellcome Trus